Identifying Barriers to the Participation of Diabetic Patients in Khuzestan Province in Sports Activities |
Author : Asadollah Pirayesh1*, Sedighe Heydarinejad2, Esmaeel Veisia3 |
Abstract | Full Text |
Abstract :Objective: Exercise and physical activity as an essential factor and an integral part in the prevention of standard management of diabetes, however, most people with diabetes are not active enough. The objective of this research was to identify the obstacles hindering the participation of diabetic patients in sports activities in Khuzestan province.
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Effects of Lipoic Acid and High-Intensity Interval Training (HIIT) on Pancreatic VEGFR-3 Levels in Diabetic Rat Model |
Author : Seyed Ramin Hashemian Esfahani1, Minoo Dadban Shahamat1*, Asra Askari2 , Abbas Nezhadebrahimi3 |
Abstract | Full Text |
Abstract :Objective: The purpose of this experimental research is to investigate the effects of High-Intensity Interval Training (HIIT) and Lipoic Acid )ALA( supplementation on VEGFR-3 of pancreatic in diabetic Wistar rats model.
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Genetic and Epigenetic Etiologies of Type 1 Diabetes Mellitus |
Author : Tajudeen Yahaya*, Israel Obaroh, Umar Magaji, Caleb Obadiah, Daniel Anyebe, Ufuoma Shemishere |
Abstract | Full Text |
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The Transformative Role of Artificial Intelligence in Diabetes Treatment |
Author : Masoud Rostami1, Vida Sadat Anoosheh2* |
Abstract | Full Text |
Abstract :Dear Editor,
I
am writing to draw attention to the remarkable advances of artificial intelligence (AI) in the field of diabetes treatment. Artificial intelligence (AI) and machine learning (ML) are revolutionizing the healthcare system, including diabetes care. The application of AI/ML has the potential ability expand the scope of diabetes care, making it more accessible and effective. The AI is proving to be a game-changer in managing and improving the lives of diabetic people.
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The Transformative Role of Artificial Intelligence in Diabetes Treatment |
Author : Masoud Rostami1, Vida Sadat Anoosheh2* |
Abstract | Full Text |
Abstract :Dear Editor,
I
am writing to draw attention to the remarkable advances of artificial intelligence (AI) in the field of diabetes treatment. Artificial intelligence (AI) and machine learning (ML) are revolutionizing the healthcare system, including diabetes care. The application of AI/ML has the potential ability expand the scope of diabetes care, making it more accessible and effective. The AI is proving to be a game-changer in managing and improving the lives of diabetic people.
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The Transformative Role of Artificial Intelligence in Diabetes Treatment |
Author : Masoud Rostami1, Vida Sadat Anoosheh2* |
Abstract | Full Text |
Abstract :Dear Editor,
I
am writing to draw attention to the remarkable advances of artificial intelligence (AI) in the field of diabetes treatment. Artificial intelligence (AI) and machine learning (ML) are revolutionizing the healthcare system, including diabetes care. The application of AI/ML has the potential ability expand the scope of diabetes care, making it more accessible and effective. The AI is proving to be a game-changer in managing and improving the lives of diabetic people.
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A Comparison of Renal Effects between Empagliflozin and Linagliptin in Diabetic Patients with Chronic Kidney Disease: A Randomized Clinical Trial |
Author : Reza Zeinabadi Noghabi1*, Rojin Rouintan1, Tahereh Sabaghian1, Shayesteh Khalili2 |
Abstract | Full Text |
Abstract :Objective: The current study aimed to compare the renal effects of Empagliflozin with Linagliptin combined with Metformin in patients with type 2 diabetes mellitus (T2DM) and chronic kidney disease.
Materials and Methods: We conducted a randomized clinical trial on diabetic patients aged over 18 years with chronic renal failure and an EGFR between 20 to 60 ml/minutes/1.73 m2 corrected with the MDRD equation. Between January and December 2023, a total of 150 cases in Imam Hossein Hospital were randomized into two study arms of 75 cases receiving Empagliflozin (10 mg/day) and metformin or Linagliptin (5mg/day) and metformin for 6 months. The primary outcome was a change in chronic kidney disease (CKD) stage, while serum creatinine, fasting blood sugar (FBS), proteinuria, and blood pressure were evaluated at baseline, 3 and 6 months later.
Results: The mean age of participants was 62.20 (± 4.45) years and 50% of them were females. Study indices including serum creatinine (P: 0.001), estimated glomerular filtration rate (eGFR) (P: 0.001), FBS (P: 0.001), HgA1c (P: 0.001), proteinuria (P: 0.001), and blood pressure (P: 0.001) reduced significantly over time in both groups. After adjustment for potential confounders, Empagliflozin reduced the level of serum creatinine independent of other factors.
Conclusion: Empagliflozin significantly reduces the level of serum creatinine compared to Linagliptin in patients with T2DM and chronic renal failure.
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Predictors of Mortality among Intensive Care Unit (ICU) Hospitalized Diabetic Patients with COVID-19 |
Author : Mohsen Gholinataj Jelodar1,2, Samaneh Mirzaei1,3*, Majid Haji Maghsoudi1 |
Abstract | Full Text |
Abstract :Objective: Diabetic patients with COVID-19 are at the higher risk of clinical complications and intensive care unit )ICU( admission. There is limited information available on the risk factors of mortality in diabetic patients with COVID-19 admitted to the ICUs. The aim of this study was identifying the mortality risk factors in diabetic patients with COVID-19 who are admitted to the ICU.
Materials and Methods: In this study, we conducted a descriptive-analytical observational analysis on 391 patients admitted to the ICU for 18 months. We assessed the demographic, clinical, pharmaceutical, laboratory and imaging data of diabetic patients and statistically analyzed them to identify mortality risk factors.
Results: The study found 156 (39.89%) diabetic out of 391 patients. The group of diabetic patients had significantly higher rates of endotracheal intubation (P< 0.001), mortality (P< 0.001), and complications during hospitalization due to COVID-19, including secondary bacterial infections (P = 0.005), venous thrombosis (P = 0.008), and gastrointestinal bleeding (P = 0.011), compared to the nondiabetic patient.
Conclusion: Patients with diabetes who also have COVID-19 tend to experience more severe clinical outcomes and a higher mortality rate when admitted to the intensive care unit. The likelihood of mortality in these patients is closely associated with factors such as stroke occurrence, oxygenation levels, and the presence of secondary infections at the time of admission.
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Antibody Engineering to Enhancement of Ranibizumab Binding Affinity for the Prevention and Treatment of Diabetic Retinopathy |
Author : Fateme Sefid1, Kimia Monshizadeh1, Ghasem Azamirad2, Mohammad Yahya Vahidi Mehrjardi3* |
Abstract | Full Text |
Abstract :Objective: The VEGF function blockage effectively reduces the progression of diabetic retinopathy. Ranibizumab and bevacizumab are some anti-VEGF monoclonal antibodies (mAb). Considering the importance of affinity maturation of ranibizumab, we aimed to find the essential amino acids of the ranibizumab antibody (Ab).
Materials and Methods: We tried to find the important amino acids of this antibody via Paratome, Meta-PPISP, and the WESA web server. Subsequently, these amino acids were mutated to improve the binding affinity of the Ab variants to antigen (Ag). In this regard, the ranibizumab anti-VEGF-A was mutated. The structural docking prediction of the ranibizumab-VEGF-A complex was used for the design and validation of ranibizumab with a higher affinity for binding to VEGF-A. Finally, we measured the binding affinity of Ab variants to Ag by computational docking.
Results: Bioinformatic analyzes such as molecular docking and dynamics showed that several mutant variants successfully improved the properties of Ab binding compared to the wild-type Ab.
Conclusion: Consistent with the use of anti-VEGF monoclonal antibodies in the treatment of diabetic retinopathy, the mutant variants of ranibizumab may be potential candidates for stronger affinity binding to VEGF, which may affect the specificity and sensitivity of the antibody.
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Antibody Engineering to Enhancement of Ranibizumab Binding Affinity for the Prevention and Treatment of Diabetic Retinopathy |
Author : Fateme Sefid1, Kimia Monshizadeh1, Ghasem Azamirad2, Mohammad Yahya Vahidi Mehrjardi3* |
Abstract | Full Text |
Abstract :Objective: The VEGF function blockage effectively reduces the progression of diabetic retinopathy. Ranibizumab and bevacizumab are some anti-VEGF monoclonal antibodies (mAb). Considering the importance of affinity maturation of ranibizumab, we aimed to find the essential amino acids of the ranibizumab antibody (Ab).
Materials and Methods: We tried to find the important amino acids of this antibody via Paratome, Meta-PPISP, and the WESA web server. Subsequently, these amino acids were mutated to improve the binding affinity of the Ab variants to antigen (Ag). In this regard, the ranibizumab anti-VEGF-A was mutated. The structural docking prediction of the ranibizumab-VEGF-A complex was used for the design and validation of ranibizumab with a higher affinity for binding to VEGF-A. Finally, we measured the binding affinity of Ab variants to Ag by computational docking.
Results: Bioinformatic analyzes such as molecular docking and dynamics showed that several mutant variants successfully improved the properties of Ab binding compared to the wild-type Ab.
Conclusion: Consistent with the use of anti-VEGF monoclonal antibodies in the treatment of diabetic retinopathy, the mutant variants of ranibizumab may be potential candidates for stronger affinity binding to VEGF, which may affect the specificity and sensitivity of the antibody.
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Vildagliptin-Associated Bullous Pemphigoid: A Case Report |
Author : Debanjan Roy1, Gunjan Gayen1, Sabnam Ara Begum2, Sandip Ghosh3, Sucheto Talukder4, Arisha Sarkar4, Shritama Aich5* |
Abstract | Full Text |
Abstract :Objective: Bullous pemphigoid is a rare autoimmune skin disorder characterized by blistering, urticarial lesions, which are sometimes associated with adverse drug reactions.
Vildagliptin is an oral anti-diabetic agent that selectively inhibits the dipeptidyl peptidase-4 (DPP-4) enzyme.
Materials and Methods: A 75-year-old female with a known case of type 2 Diabetes Mellitus, hypertension, and hypothyroidism for the last 10 years presented with pruriginous tense bullous skin lesions over her both palms and soles. There was no mucosal involvement. Further interrogation revealed that she started taking Vildagliptin 5 days ago which was prescribed due to high levels of post-prandial blood sugar level despite already intake of Glimepiride-4 mg and Metformin-3 gm.
Results: Vildagliptin was immediately advised to be stopped. She was treated with antihistamines, steroids, and conservative management which led to remission of the blisters.
Conclusion: Vildagliptin is the probable causative drug for developing bullous pemphigoid skin lesion which shows temporal association in this case as other concomitant drugs has no direct correlation. Therefore physicians must be aware of this rare life-threatening side effect of this medicine and advice patients to visit the hospital even the slightest cutaneous manifestation. Bullous pemphigoid can result in fatal life-threatening conditions if not treated early.
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